Narrow AI (Weak AI): Description Narrow AI, also known as Weak AI, is the most common type of Artificial Intelligence in use today. It refers to AI systems designed to perform a single or a narrowly defined task with high efficiency and accuracy. Unlike human intelligence, Narrow AI does not possess general intelligence or understanding… Read More »

Capability-Based Types of AI: Overview The Capability-Based Classification of AI defines Artificial Intelligence (AI) based on its level of intelligence, autonomy, and scope of functionality. It highlights the progress of AI systems from basic task-oriented intelligence to potential superintelligence. 1. Narrow AI (Weak AI) Definition: Narrow AI refers to AI systems designed to perform a… Read More »

Types of AI: A Comprehensive Overview Artificial Intelligence (AI) is broadly categorized based on its capabilities and functionalities. These classifications help us understand the scope, limitations, and potential of AI systems. Below are the primary types of AI, divided into capability-based types and functionality-based types: I. Capability-Based Types of AI This classification focuses on the… Read More »

Expert Systems are a category of Artificial Intelligence (AI) designed to mimic the decision-making abilities of a human expert in a specific domain. They use knowledge and inference rules to solve complex problems, provide recommendations, or make decisions. These systems are extensively used in fields where expertise is expensive or scarce, such as healthcare, finance,… Read More »

Robotics: Key Concepts in AI Robotics is a multidisciplinary field within Artificial Intelligence (AI) that focuses on designing, building, and operating robots capable of performing tasks traditionally requiring human effort. Robotics integrates AI to make machines intelligent, adaptive, and capable of interacting with their environment. Below are the four key concepts of Robotics in AI:… Read More »

Computer Vision is a field within Artificial Intelligence (AI) that focuses on enabling machines to interpret and understand visual information from the world, similar to how humans process visual data. It combines techniques from computer science, mathematics, and engineering to analyze, interpret, and replicate human vision tasks. Below are the three key concepts of Computer… Read More »

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling machines to understand, interpret, and generate human language. It combines computational linguistics and machine learning to bridge the gap between human communication and computer understanding, allowing AI to process, analyze, and generate responses based on language input. Here’s a breakdown of… Read More »

Machine Learning (ML) is a key subset of Artificial Intelligence (AI) that enables machines to learn from data, identify patterns, and make decisions with minimal human intervention. Unlike traditional programming, where rules are explicitly coded, ML algorithms learn from experience to improve their performance over time. How Machine Learning Works Data Collection: Collect relevant data… Read More »

What is AI? Artificial Intelligence (AI) is the simulation of human intelligence by machines, especially computer systems. AI enables machines to perform tasks that typically require human intelligence, such as understanding language, recognizing patterns, solving problems, and making decisions. Key Concepts of AI: Machine Learning (ML): A subset of AI where computers learn from data… Read More »